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Research Article Available online www.ijsrr.org ISSN: 2279–0543

International Journal of Scientific Research and Reviews

To Formulate Develop and Evaluate Sustained Release Matrix Tablet

of Torsemide and also Carried out in Vitro Dissolution Studies.

Warkad S. S.

1

*, Anantwar P. S.

2

, Gaikwad S.

3

, Chavan M. N.

1

, Pakhare V. S.

1

,

Gharat S. N.

1

1Department of pharmaceutics, MVP’s college of pharmacy, Gangapur road, Nashik, Affiliated to

savitribaiphule pune university, pune, Maharashtra. Email ID : [email protected],

2

ShriSaptashrungiAyurvedMahavidyalayHirawadi, Nashik. Affiliated to Maharashtra university of health sciences Nashik, Maharashtra, India

3

GBS GSTO Apotext Research pvt Ltd Mumbai . Email ID: [email protected]

ABSTRACT

The aim of present study was formulation and development and evaluation of sustained release matrix tablet of Torsemide. The Torsemide is potassium sparing diuretic generally used in hypertension. The Torsemide has advantages over furosemide in treatment of Edema associated with congestive heart failure. The action of Torsemide can be mediated by several mechanisms operating within the thick, medullary segment of ascending loop of Henle. The Torsemide has a dose about 10mg twice a day, so to reduce dosing frequency it is formulated in sustained release formulation.

Torsemide sustained release tablet was prepared by using polymers HPMC K 100 as sustained release polymer and Kollidon VA64 as binder by direct compression method. A 32 full factorial design was used to formulate different batches containig different concentration of HPMC K 100 and Kollidon VA64. The prepared tablets were evaluated for different parameters like Hardness, Friability, and Dissolution.

Out of all factorial design batches F6 batch shows sustained release drug release for 24hr as compared to other all batches.

KEY WORDS:

Torsemide, Sustained release matrix tablet, HPMC K 100, Kollidon VA64, Dissolution kinetics.

*Corresponding author

Mr. Sachin S. Warkad

Research scholar,Department of Pharmaceutics,

MVP Samaj’s college of pharmacy,Gangapur road, Nashik, Maharashtra-422002, India

Email Id- [email protected]

(2)

1

.

INTRODUCTION

1, 2, 3, 4

Over the past decades the treatment of acute and chronic illness has been accomplished by

many conventional drug delivery systems such as tablets, capsules, pills, creams, ointments,

liquids, aerosols, injectables and suppositories. These conventional drug delivery systems are still

the primary pharmaceutical products commonly seen today in prescription. Oral route is the most

commonly employed route of drug administration. Although different route of drug

administration are used for the delivery of drugs, oral route remain the preferred route. Even for

sustained release systems the oral route of administration has been investigated the most because

of flexibility in dosage forms design that the oral route offers.

Conventional drug therapy requires periodic doses of therapeutic agents. These agents are

formulated to produce maximum stability, activity and bioavailability. For most drugs,

conventional methods of drug administration are effective, but some drugs are unstable or toxic

and have narrow therapeutic ranges. Also in these types of systems, for achieving and maintaining

concentration of drug within the therapeutic range, frequent dosing is required which result into

see-saw pattern of the drug levels.

To overcome these problems sustained release systems were introduced three decades ago.

Sustained release, sustained action, prolonged release, controlled release, extended action, timed

release, depot and repository dosage forms are the terms used to identify drug delivery systems

that are designed to achieve a prolonged therapeutic effect by continuously releasing medication over an extended period of time after administration of a single dose. The term “controlled release” has become associated with those systems from which therapeutic agents may be

automatically delivered at predefined rate over long period of time.

The basic goal of drug therapy is to achieve a steady-state blood level or tissue level that

is therapeutically effective and non-toxic for an extended period of time. To achieve better

therapeutic action various types of drug delivery systems are available, out of which sustained

release systems are gaining much importance because of their wide advantages over others like

ease of administration, convenience and non-invasiveness. The vast majority of traditional dosage

forms can be described as dump systems which deliver their active substances in a first order

fashion, that is, release occurs at rates that are highest initially and then decline steadily thereafter.

Clinically this peak and valley pattern results in a time dependent mix therapy. Drug side effects

tend to predominate at the high peak concentration in blood, whereas, an inadequate therapeutic

effect may prevail at the valley level. Use of controlled release systems provides an excellent tool

(3)

 Advantages of sustained release drug delivery8

Sustained release products have many advantages listed as follows.

1. These formulations reduce dosing frequency of drugs.

2. These formulations may maintain therapeutic concentrations.

3. Reduce the toxicity by slowing drug absorption.

4. The use of these formulations avoids the high blood concentration.

5. These formulations have the potential to IM side effects.

6. Increase the stability by protecting the drug from hydrolysis or other degradative changes in

gastrointestinal tract.

7. Improvement in treatment efficacy.

8. Minimize drug accumulation with chronic dosing.

9. Improve the bioavailability of some drugs.

10. Usage of less total drug.

11. Improve the ability to provide special effects prove the patient compliance.

 Disadvantages of sustained release drug delivery

1. This formulation contains a higher drug load and thus leads to loss of integrity of the dosage

form.

2. The larger size of sustained release products may cause difficulties in ingestion or transit

through gut.

3. The release rates are affected by various factors such as food and the rate of transit through the

gut.

4. Some differences in the release rate from one dose to another dose but these have been

minimized by modern formulations.

5. High cost of preparation

6. Sometimes the target tissue will be exposed to constant amount of drug over extended period

results in drug tolerance.

The oral route of administration is the most preferred route due to flexibility in dosage form,

design and patient compliance. The majority of oral controlled release systems rely on dissolution,

diffusion or a combination of both mechanisms, to generate slow release of drug.

2. MATERIAL AND METHOD

API: Torsemide is obtained as a gift sample from Pure chem laboratories Ltd., Ankleshwar,

Gujrat. Kollidon VA64 and HPMC K100 (matrix forming material), Micro crystalline cellulose

(4)

Instrument used for study:

1. UV spectrophotometer (Shimadzu UV-2450 Double Beam Spectrometer).

2. FTIR spectrophotometer (Shimadzu).

3. Pfizer hardness tester (Cadmach, India).

4. Roche Friabilator (Remi Electronics, Mumbai, India).

5. Single pan electronic balance (Shimadzu AUX 220)

6. Vernier calliper.

7. USP XXII Type II Dissolution apparatus DS 8000 (Lab-India, Mumbai, India).

8. UV spectrophotometer (Shimadzu UV-2450 Double Beam Spectrometer).

9. Differential scanning Calorimetry (PerkinElmer 4000)

Method:

2.1. Formulation study

2.1.1. Preliminary trial batches:

Composition of preliminary trials batches for sustained release formulation is shown in Table

.In all the formulations dose of Torsemide 20 mg was taken. Torsemide matrix tablets were prepared

by direct compression method. The excipients used were Kollidon VA64 and HPMC K100 (matrix

forming material), Micro crystalline cellulose (MCC) PH102 (filler), Talc (glidant) and Magnesium

stearate (lubricating agent).

2.1.2. Direct compression technique:

Torsemide, Kollidon VA64, HPMC K100 and MCC were mixed properly. The powder

blends were lubricated using Magnesium stearate and Talc was added finally. Tablets were prepared

using 10-station rotary compression machine. The prepared tablets were evaluated for hardness and

in vitro drug release.

Table 1: Composition of trial batches

Ingredients (mg) / batch

T1 T2 T3 T4

Torsemide 20 20 20 20 HPMC K100 60 40 70 30 Kollidon SR 60 80 40 90

MCC 102 40 40 40 40

Mg. Stearate 15 15 15 15

Talc 5 5 5 5

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2.2.3. Formulation of Torsemide SR matrix tablets

In the given table the values of excipients are decided depending on the concentrations

suggested as in Book of excipients. The values are given depending on particular role of that

ingredient. HPMC here is used as sustained release matrix forming polymer, Kollidon VA 64 is

binder, MCC 102 as diluents, talc and magnesium stearate as flow enhancers.

Table 2: Formulation of 32 Factorial Design Batches

Ingredients (mg) / batch

F1 F2 F3 F4 F5 F6 F7 F8 F9

Torsemide 20 20 20 20 20 20 20 20 20 HPMC K100 70 70 60 60 70 80 80 60 80 Kollidon

VA64

40 30 50 40 50 50 40 30 30

MCC 102 50 60 50 60 40 30 40 70 30 Mg. Stearate 15 15 15 15 15 15 15 15 15 Talc 5 5 5 5 5 5 5 5 5 Total 200 200 200 200 200 200 200 200 200

2.3. Preparation of Tablets:

The direct compression method was utilized for the preparation of tablets. The drug

Torsemide, HPMC K100, Kollidon VA64 and MCC PH102 were mixed thoroughly in mortar and

pestle for 5 min. The blends of the prepared powder were lubricated with Magnesium stearate and

mixed with Talc. The tablets were compressed using 9 mm punches at on multiple punches 10

station tablet machine. The formulae of all factorial batches of Torsemide SR Matrix tablet are

shown in the Table.

2.4. Evaluation of Torsemide (SR) matrix tablets

2.4.1. Appearance and thickness :

The thickness of tablet as a dimensional variable was evaluated. The tablet thickness was

controlled within ±5% of average value. The colour, odour and any other flaws like chips, cracks,

surface texture, etc. are other important morphological characteristics were observed.The thickness

of tablet was measured in mm using micrometre screw gauge and diameter defined by die used in the

preparation of tablets.

2.4.2. Hardness

Tablet hardness is defined as force required to crushing the tablet in diametric compression

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between two plungers and the lower plunger is kept in contact of tablet to read as zero. The upper

plunger is forced against a spring by turning the screw until tablet fractures.

2.4.3. Weight variation test

Twenty tablets were taken and weighed and average weight of the tablet was determined.

The tablets were weighed individually and the weight variation was determined.

2.4.4. Friability

Twenty tablets were weighed and subjected to friability test in Roche friabilator. The

pre-weighed sample was placed in friabilator which revolves at 25 rpm for 4 min. dropping the tablets

through a distance of 6 inch with each revolution. This process was repeated for all formulations and

the percentage friability was calculated.

The % Friability was then calculated by,

% Friability =Winitial – Wfinal / Winitial × 100

2.4.5. Drug Content

It is determined by ten random tablets were taken and one tablet was crushed powder

equivalent to 20 mg was dissolved in 100 ml of 0.1N HCl and shaken for 20 min. solution will be

filtered and after suitable dilution using 0.1N HCl, absorbance was measured spectrophotometrically

against reagent as blank. Amount of drug present in one tablet was calculated.

2.4.6. In vitro drug release study

The drug release rate from Torsemide SR matrix tablets was determined using USP apparatus

type II (lab India, India). The dissolution test was performed using 900 ml of 0.1N HCl at 37  0.5C

and 50 rpm. A sample (10 ml) was withdrawn at a specific interval and replaced with fresh

dissolution medium of same quantity. The samples were filtered through a Whatman filter paper.

Absorbance of the solutions was measured at 237 nm by UV-Visible Spectrophotometer (UV-2450

SHIMADZU).The drug release and drug release kinetics was calculated.

2.5. Kinetics analysis of drug release:

In order to investigate the mode of release from the tablets the release data were analysed

with the following mathematical models:

A. Zero-order kinetic:

Q0 = Qt + k0t

Where, Qt is amount of drug release at time t

K0 is zero order release rate constant.

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B. First-order kinetic:

ln (100 – Q) = lnQ0 – k1t

Where, Q = amount of drug release at time t

Q0 = amount of drug present initially

K1 = first order release rate constant

C. Higuchi equation:

Q = kH t1/2

Where, Q = amount of drug release at time t

KH = Higuchi dissolution constant

D. Korsmeyer-Peppas model:

Q =kPtn

Where, Kp is a constant incorporating the structural and geometric characteristics of the drug dosage

form.

n is the release exponent indicative of the mechanism of release.

This equation was further simplified and proposed by Ritger and Peppas,

Mt/M= Ktn

Where, Mt is the drug released at time t,

M is the amount of drug released at infinite time

K is a kinetic constant, and

n is the diffusional exponent.

The value of n indicates the drug release mechanism. For a slab the value n = 0.5 indicates Fickian

diffusion and values of n between 0.5 and 1.0 or n = 1.0 indicate non-Fickianmechanism. In case of a

cylinder n = 0.45 instead of 0.5, and 0.89 instead of 1.0. This model is used to analyse the release

from polymeric dosage forms, when the release mechanism is not well known or when there is a

possibility of more than one type of release phenomenon involved.

Table 3: Interpretation of diffusional release mechanism from polymeric films.

Release exponent (n) Drug transport mechanism

0.5 Fickian diffusion

0.5 < n > 1.0 Anomalous transport(non-Fickian)

1.0 Case-II transport

(8)

3. RESULTS AND DISCUSSION:

3.1. Drug identification

The sample of Torsemide procured for study and was identified by melting point, UV spectrum,

ATR spectrum and DSC thermograph.

3.1.1. Organoleptic characteristic of API

Table 4: Organoleptic characteristic

Parameter Observation Result Reported Standard

Colour White White

Odour Odourless Odourless

Appearance Crystalline powder Crystalline powder Organoleptic properties of drug samples were in accordance with literature values.

3.1.2. Melting Point

Table 5: Melting Point

Sample Observed value (0C) Reported value (0C)

Torsemide 162- 1650C 163-1650C

3.1.3 Solubility studies:

Table 6: Solubility Studies

Solvent Observed

Solubility(mg/ml)

Reported

Solubility(mg/ml)

Water 0.00156 0.001

DMSO 17 18

3.2. DSC Study:

3.2.1. DSC study of API

Fig1: DSC Thermogram of Torsemide

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3.2.2 DSC study of Excipient and Drug Excipient Mixture

Fig2: DSC thermogram of HPMC K100

Fig3: DSC thermogram of Physical mixture

Fig4: DSC overlay plot

The melting point range observed in both thermogram is same indicating compatibility between drug

(10)

3.3. Formulation Studies

3.3.1 Preliminary trial batches

Table7: Evaluation of preliminary trial batches

Time (hrs.)

% Drug Release of trial formulations

T1 T2 T3 T4

1 6.14 2.18 5.10 11.66

3 19.17 27.28 16.32 26.25

5 26.94 38.59 23.51 30.64

8 38.77 50.78 33.56 42.90

11 48.14 61.95 43.44 53.34

14 58.03 69.32 53.87 63.25

16 64.63 72.34 59.43 69.53

18 69.33 74.15 65.28 75.69

20 74.86 75.18 71.87 77.69

22 78.10 76.31 76.59 80.14

24 81.18 71.31 82.42 81.86

Fig 5: Drug Release of Preliminary trial batches

0 10 20 30 40 50 60 70 80 90

0 5 10 15 20 25 30

% D R

Time (Hr)

Dissolution Profile Of Trial Batches

T1

T2

T3

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The release profile of trial formulations (T1 to T4) given in Table18. Formulation T1 to T4

drug release studied for 24 Hrs. T3 and T4 batch shows better drug release profile than others.

Concentration of HPMC K100 shows impact on release of active ingredient in formulations.T3

shows 82.42 and T4 shows 81.86

Table 8: Evaluation of tablet

Batch Weight

variation (mg)

Hardness (Kg/cm2)

Friability (%)

Thickness (mm)

Drug

Content (%)

F1 200±1.8 7±0.11 0.59±0.01 3.2±0.05 98.45 F2 199±1.7 7.3±0.1 0.63±0.0111 3.3±0.15 98.13 F3 198±1.0 6.6±0.17 0.68±0.009 3.2±0.15 99.09 F4 200±1.8 7±0.2 0.49±0.016 3.3±0.15 99.31 F5 199±1.9 7.1±0.31 0.51±0.008 3.4±0.05 99.57 F6 201±1.8 7.5±0.05 0.54±0.017 3.3±0.1 98.90 F7 202±1.9 7.1±0.1 0.43±0.009 3.3±0.15 99.98 F8 200±1.8 6.6±0.15 0.67±0.012 3.2±0.1 100.12 F9 200±1.3 6.7±0.05 0.69±0.014 3.2±0.11 97.63 Mean ±SD n=20

3.4. In vitro drug release studies

Formulation containing combination of HPMC K100 and Kollidon VA64 retarded the drug release

up to 24 Hrs.

Table 9: In vitro drug release studies

Time in hrs

Cumulative Drug Release Of Formulation (%)

F1 F2 F3 F4 F5 F6 F7 F8 F9

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Fig 6: Drug Release of Factorial Batches

In case of trial batches the concentration was decided as suggested in the book of excipients.

Depending on results obtained from those trials the final formulation concentration was decided. The

T3 batch showed best results for the drug release and hence that point was considered to be centre

point for optimisation.

Thus DOE suggested following batches having concentration in given range keeping trial optimized

concentration as middle one.

Table 10: Experimental batches as per DOE

Factor 1 Factor 2 Response 1 Response 2 Std. Run A:HPMC K 100 B:Copovidone Drug release Hardness

Mg Mg % Kg/cm2

11 1 70 40 95.98 7

5 2 70 40 95.98 7.1

2 3 70 30 92.52 6.5

10 4 70 40 95.98 6.9

7 5 60 50 91.72 7.2

4 6 60 40 96.76 7.4

8 7 70 50 96.87 7

9 8 80 50 97.21 6.7

6 9 80 40 96.81 6.8

1 10 60 30 91.84 7.3

3 11 80 30 92.63 6.8

0 20 40 60 80 100 120

0 5 10 15 20 25 30

% C D R

TIME (Hr)

Dissolution Profile Of Factorial Batches

F1

F2

F3

F4

F5

F6

F7

F9

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3.5. Optimized Batch:

The optimized batch was suggested by the DOE software depending on the onses entered in

software.

Table 11: Optimized batch as per DOE

Solutions

Number HPMC K 100 Copovidone Drug release Hardness Desirability

1 80.000 50.000 97.388 6.756 1.000 Selected

Fig 7: contour plot of Drug release

The above contour plot shows combined effect due to varying concentrations of Copovidone and

HPMC K 100 on the drug release characteristic of tablet. It could be seen that as the concentration of

copovidone increases there is proportional increase in the drug release at constant concentraton of

HPMC k 100. Solely the increasing concentration of HPMC k 100 is directly proportional to effect

only at higher concentrations of copovidone. Both these factors when increased simultaneously so

combined effect on drug release. The curvature in the 3D plot clearly indicates that the increasing

Design-Expert® Software Factor Coding: Actual Drug release (%)

Design Points

97.21

91.72

X1 = A: HPMC K 100 X2 = B: Copovidone

60 65 70 75 80

30 35 40 45

50

Drug release (%)

A: HPMC K 100 (mg)

B

:

C

o

p

o

v

id

o

n

e

(m

g

)

93 94 94

95 95

96

97

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copovidone increases drug release only up to a limit beyond which the drug release is further

decreased.

Fig 8: 3D plot of drug release

Fig 9: Contour plot for Hardness

Design-Expert® Software Factor Coding: Actual Drug release (%)

Design points above predicted value

Design points below predicted value

97.21

91.72

X1 = A: HPMC K 100 X2 = B: Copovidone

30 35 40 45 50 60 65 70 75 80 91 92 93 94 95 96 97 98 D ru g r e le a se ( % )

A: HPMC K 100 (mg)

B: Copovidone (mg)

Design-Expert® Software Factor Coding: Actual Hardness (Kg/cm2)

Design Points 7.4

6.5

X1 = A: HPMC K 100 X2 = B: Copovidone

60 65 70 75 80

30 35 40 45 50 Hardness (Kg/cm2)

A: HPMC K 100 (mg)

(15)

Above contour plot shows effect of HPMC K 100 and Copovidone on Hardness of the tablet. It is

seen that the HPMC K 100 is the dominant factor to have effect on Hardness. As HPMC increases

the hardness decreases and copovidone has its effect only at extreme high and low values of HPMC

K 100. To have higher hardness low concentration of HPMC and higher concentration of copovidone

is suggested.

Fig 10: 3D plot for Hardness

To have all the responses within limits the overlay plot shows required input variable values. Thus it

indicates a design space where all the responses are within acceptable limit at any value of input

variable in that particular design space.

Design-Expert® Software Factor Coding: Actual Hardness (Kg/cm2)

Design points above predicted value Design points below predicted value

7.4

6.5

X1 = A: HPMC K 100 X2 = B: Copovidone

30 35

40 45

50

60

65

70

75

80 6.4

6.6 6.8 7 7.2 7.4 7.6

H

a

rd

n

e

ss

(K

g

/cm

2

)

A: HPMC K 100 (mg)

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Fig 11: Overlay plot of all factors and responses

Dissolution models for the optimized batch (F6)

For the dissolution model to fit in any of the mentioned case we need to conditions to fit. We have to

find a model wit least sum of square error value having higher regression value.

The above data suggests that KorsemayerPeppas model could be fitted more appropriately to the

developed system as it has least error value and comparatively a good regression coefficient. Also it

is mentioned prior that the developed system is swellable in nature which proves the suggested

model good for fit.

Table 12: Dissolution Models

Sr.

no

Model Sum of squares of

error

Regression

1 Zero Order 41142.9 0.995

2 Hiiguchi 4.918.40 0.969

3 First Order 38666.49 0.938

4 Hixon Crowel 11.8 0.995

5 KorsemayerPeppas 10.92 0.951

Design-Expert® Software Factor Coding: Actual Overlay Plot

Drug release Hardness

Design Points

X1 = A: HPMC K 100 X2 = B: Copovidone

60 65 70 75 80

30 35 40 45

50

Overlay Plot

A: HPMC K 100 (mg)

B

:

C

o

p

o

v

id

o

n

e

(

mg

)

Drug release: 95 Drug release: 95

3

Drug release: 97.3878 Hardness: 6.75606 X1 80

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4. CONCLUSION

The oral route is most preferred route of administration of dosage forms. Controlled release

dosage forms are advantageous over conventional dosage form because reducing dosing frequency

and improved patient compliance. The work was carried out to design sustained release matrix tablet

of Torsemide using combination of two polymers.

The conclusions drawn from the investigations were summarized below

 The polymer was selected for the sustaining the release i.e. HPMC K100 and Kollidon VA64

are compatible with the Torsemide.

 Sustained release matrix tablets of Torsemide were successfully prepared using HPMC

K100(40%) , Kollidon VA64(25%) and other excipients.

 The tablets were evaluated for Pharmacopoeial and non-Pharmacopoeial tests.

 The 32 factorial design can be successfully applied for the optimization of the batches.The

selected independent variable exhibits significant effect on dependent variables.

 The oral sustained release drug delivery system of Torsemide provides the drug release for 24 Hrs in a sustained manner to achieve the desired therapeutic profile with maximum drug

utilization, improve patient compliance.

 In the trial batches the HPMC K100 (70mg) and Kollidon VA64(40mg) so the better results,

according to that the levels for factorial batches decided.

 The formulation F6 shows the maximum drug release in 24hrs in sustained release manner.

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(HPMC) matrix tablet, Journal of Controlled Release, 2010; 147:70-75.

29.Gouthami J.,JhannsipriyaM.V. and N. Naidu, Effect of different polymers on release of the

sustained release tablets of the glipizide, JCPR, 2013; 5:111-118.

30.Costa P Lobo JMS.Modeling and Comparison of Dissolution Profiles.Eur.J Pharma Sci.2001;

13:123-133.

31.Petrovic A., Trajkovic S., IbricS.,Popadic D. Mixture design evaluation of drug release from

matrix tablets containing carbomer and HPMC. J Control Release.2006; 58-65.

32.Costa P.*, Jose´ Manuel Sousa Lobo, Review Modeling and comparison of dissolution

profiles, EJPS, 2001; 13: 123–133.

Figure

Table 2: Formulation of 32 Factorial Design Batches
Table 3:  Interpretation of diffusional release mechanism from polymeric films.
Table 6: Solubility Studies
Fig 5: Drug Release of Preliminary trial batches
+7

References

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